Zeidler Group recognised in World’s 100 Most Innovative AI Fintech Companies

7th September 2021

London, 7 September 2021- Zeidler Group, the technology-driven law firm revolutionising the legal and compliance services for the asset management industry, today announced its inclusion in the AIFintech100.  

Compiled by specialist data and research firm, FinTech Global, the AI FinTech100 recognises solution providers for their innovative use of technology to solve a significant industry challenge, or to generate cost savings or efficiency improvements across the financial services value chain. The standout companies were chosen by a panel of industry experts and analysts who reviewed a study of over 1,000 FinTech companies undertaken by FinTech Global.  

“We’re delighted to be recognised and included among the world’s most innovative companies using digital innovation to create efficiencies and cost savings for our clients,” said Arne Zeidler, CEO and Founder of Zeidler Group. “Zeidler Group continues to be a pioneer in the use of digital innovation, and we are constantly exploring new ways to deliver cost-effective legal and compliance solutions to a high quality to ensure our clients adopt a more strategic and streamlined approach to their legal and compliance requirements”. 

Kunal Grover, Head of Business Development at Zeidler Group added: “Zeidler Group’s unique combination of research-driven  legal expertise and integrated legal and regulatory compliance solutions via our proprietary digital platform is a truly innovative and cost-effective solution for the asset management industry.” 

About Zeidler Group  

Zeidler Group is a technology-driven law firm revolutionising legal and regulatory compliance services for the asset management industry. From innovative digital solutions for legal and compliance challenges to providing research-based high-quality legal advice, Zeidler Group builds collaborative, strategic, and meaningful partnerships.  

For more information, please visit zeidler.group.  


Kate Horgan